• DocumentCode
    1397163
  • Title

    Joint CFO and Channel Estimation for OFDM-Based Two-Way Relay Networks

  • Author

    Wang, Gongpu ; Gao, Feifei ; Wu, Yik-Chung ; Tellambura, Chintha

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    10
  • Issue
    2
  • fYear
    2011
  • fDate
    2/1/2011 12:00:00 AM
  • Firstpage
    456
  • Lastpage
    465
  • Abstract
    Joint estimation of the carrier frequency offset (CFO) and the channel is developed for a two-way relay network (TWRN) that comprises two source terminals and an amplify-and-forward (AF) relay. The terminals use orthogonal frequency division multiplexing (OFDM). New zero-padding (ZP) and cyclic-prefix (CP) transmission protocols, which maintain the carrier orthogonality and ensure low estimation and detection complexity, are proposed. Both protocols lead to the same estimation problem which can be solved by the nulling-based least square (LS) algorithm and perform identically when the block length is large. We present detailed performance analysis by proving the unbiasedness of the LS estimators at high signal-to-noise ratio (SNR) and by deriving the closed-form expression of the mean-square-error (MSE). Simulation results are provided to corroborate our findings.
  • Keywords
    OFDM modulation; amplify and forward communication; channel estimation; least squares approximations; mean square error methods; CFO; OFDM-based two-way relay networks; TWRN; amplify- and-forward relay; carrier frequency offset; channel estimation; cyclic-prefix transmission protocols; mean-square-error; nulling-based least square algorithm; orthogonal frequency division multiplexing; signal- to-noise ratio; two-way relay network; Carrier frequency offset; OFDM; channel estimation; performance analysis; two-way relay network;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2010.120310.091615
  • Filename
    5659868